Lead Software Engineer

Job Posting Title:

Lead Software Engineer

Req ID:

10108087

Job Description:

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

• Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.

• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.

• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

About The Role

The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Lead Software Engineer to join our Core Media Networks Data Team. Product Performance Data is critical to making product level decisions for the DEET Portfolio whether it’s related to product design, measuring advertising effectiveness, helping users discover new content or building new businesses in emerging markets. This data is deeply valuable and gives us insights into how we can continue improving our service for our users, advertisers and our content partners. Our Core Media Networks Data Engineering team is seeking a highly motivated Lead Data Engineer with a strong technical background who is passionate about designing and building systems to process data at scale to provide business value, create models and features that unlock powerful insights, and work across software and data disciplines to solve difficult unique problems at scale. Our tech stack includes AWS, Databricks, Airflow, Spark, Databricks and languages include Scala and Python.

Responsibilities

• Contribute to the architecture, design and growth of our Data Products and Data pipelines in Scala and Python / Spark while maintaining uptime SLAs.

• Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data cloud environments.

• Implement the Lakehouse architecture, working with key partners to shift towards a Lakehouse-centric data platform.

• Lead a module and be well versed with the Business functionality to support Data questions and analysis for the Business stakeholders.

• Able to understand Business Use Cases/ problems and provide relevant Business & technical solutions. 

• Our tech stack includes AWS, Snowflake, Spark, Databricks, Delta Lake and Airflow and languages include Python, Scala.

• Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions.

• Maintain detailed documentation of your work and changes to support data quality and data governance.

• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)

• Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team.

• Be a problem solver; when presented with new challenges, you are expected to research and network to find solutions.

• Seek out answers to business problems and look for opportunities to automate processes & optimize Cost.

• Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements.

Basic Requirements

• At least 7 years of data engineering experience developing large data pipelines.

• Strong hands-on Experience with Cloud technologies like AWS (S3, EMR, EC2) and building data pipelines.

• Strong algorithmic problem-solving expertise

• Strong SQL skills and ability to cr